A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework
Observing network traffic flow for anomalies is a common method in Intrusion Detection. More effort has been taken in utilizing the data mining and machine learning algorithms to construct anomaly based intrusion detection systems, but the dependency on the learned models that were built based on ea...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitatae de vest
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/80413/1/ANOMALY.pdf http://psasir.upm.edu.my/id/eprint/80413/ https://www.scpe.org/index.php/scpe/article/view/1465 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Putra Malaysia |
| Language: | English |